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EFEKTIVITAS PENYALURAN BANTUAN LANGSUNG TUNAI DANA DESA BAGI KELUARGA PENERIMA MANFAAT (STUDI PADA DESA TURI KABUPATEN MAGETAN)

2023· article· id· W4390282003 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePublika · 2023
Typearticle
Languageid
FieldSocial Sciences
TopicLocal Governance and Development
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsPhysicsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Akibat Pandemi COVID-19 yang membawa dampak besar bagi perekonomian masyarakat, pemerintah berupaya mengatasinya dengan program Bantuan Langsung Tunai Dana Desa (BLT-DD). Dalam proses penyaluran BLT-DD masih terdapat permasalahan seperti kurangnya sosialisasi, permasalahan pendataan
 dan penetapan KPM, dan kriteria yang kurang sesuai. Penelitian ini bertujuan untuk mengetahui tingkat efektivitas penyaluran BLT-DD bagi Keluarga Penerima Manfaat di Desa Turi, Kabupaten Magetan. Penelitian ini merupakan penelitian deskriptif dengan pendekatan kuantitatif menggunakan 108 sampel yang dipilih menggunakan teknik probability sampling. Teknik pengumpulan data menggunakan kuesioner dan observasi. Teknik analisis data menggunakan statistik deskriptif dengan tujuh indikator efektivitas yaitu ketepatan waktu, ketepatan perhitungan biaya, ketepatan menentukan pilihan, ketepatan berpikir, ketepatan melakukan perintah, ketepatan menentukan tujuan, dan ketepatan sasaran. Hasil penelitian menunjukkan bahwa keseluruhan proses penyaluran BLT - Dana Desa di Desa Turi sudah berjalan sangat efektif dengan tingkat efektivitas 83,02%. Dari tujuh indikator, ada dua indikator yang masuk kategori Cukup Efektif yaitu indikator ketepatan melakukan perintah (69,35%) dan ketepatan sasaran (61,81%). Saran yang diberikan untuk dua indikator tersebut adalah pemerintah harusnya menetapkan standarisasi yang mudah diadaptasikan pada keadaan masyarakat saat ini serta melakukan pendataan secara selektif agar dalam penetapan KPM bisa tepat sasaran, melakukan sosialisasi kepada KPM terkait kriteria penerima, persyaratan administrasi, dan proses pengambilan bantuan agar informasi yang didapatkan oleh KPM bisa utuh dan menyeluruh.
 
 As a result of COVID-19 which had major impact on the community, the government has tried to overcome it with focusing Village Funds for Direct Cash Assistance (BLT-DD). In the distribution of BLT-DD there are still problems such as lack of socialization, problems with data collection and determination of beneficiaries (KPM), inappropriate criteria, etc. This research aims to determine the level of effectiveness of BLT-DD distribution for KPM in Turi Village, Magetan Regency. This research is a descriptive research with quantitative approach using 108 samples selected using probability sampling techniques. Data collection techniques used questionnaire and observation. Data analysis techniques used descriptive statistics with seven indicators of effectiveness that is timeliness, cost calculation accuracy, choice accuracy, thinking accuracy, command execution accuracy, goal determination accuracy, and target accuracy. The results of this research show that the entire process of distributing BLT-DD in Turi Village had been running very effectively with an effectiveness rate 83,02%. Of the seven indicators, there are two indicators that fall into category Moderately Effective, that is command execution accuracy (69,35%) and target accuracy (61,81%). The advice given for these indicators is that the government should set standards that are easy to adapt to the current state of society and selectively collect data so that determination of KPM can be right on target, conduct outreach to KPM regarding criteria for recipients, administrative requirements, and the process of taking aid so that the information obtained by KPM can be intact and comprehensive.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.252
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.003
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.009

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.034
GPT teacher head0.284
Teacher spread0.250 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it